Kitecyber prevents sensitive information from exiting the device by swiftly classifying and responding to data interactions in real-time, rather than after data has already been compromised. A streamlined agent operates at the endpoint, integrating comprehensive context from the device, operating system, processes, user actions, and network activities.
Enhanced classification capabilities utilize LLMs for context-sensitive detection, covering over 80 categories such as PII, PHI, PCI, source code, and intellectual property, achieving accuracy rates exceeding 90%, moving beyond simple keyword matching.
Data that cannot evade detection: lineage tracking monitors sensitive information through various transformations, such as screenshots, encoding, and file conversions that often bypass conventional scanners.
Proactive enforcement: the system can block, alert, or permit actions related to USB devices, clipboard usage, uploads, and file transfers, effectively preventing data from leaving the endpoint. It offers extensive coverage for both endpoint and network activities through a single agent, and monitors data that is pasted or uploaded to platforms like ChatGPT, Claude, and Gemini.
Quicker insights: comprehensive incident reports are automatically generated within minutes, with no prior baseline needed. Implementation can be completed in a single day, and it comes with pre-configured support for standards like GDPR, HIPAA, PCI DSS, and ISO 27001.